Staff Data Scientist

This is a high-impact data science role within a fast-moving, high-growth environment where insights directly influence business decisions.
You will work across Growth, Strategy, Revenue, Marketing, and Product, partnering closely with senior leadership and experienced data teams.
The role combines advanced analytics, forecasting, causal inference, experimentation, machine learning, and data application development.
You will own initiatives end to end, from framing ambiguous business questions through modeling, implementation, and executive recommendations.
Your work will help improve customer experiences, optimize business processes, and accelerate growth through data-driven decision-making.
You will also contribute to shared data foundations, semantic models, and reusable frameworks that enable other practitioners to work more effectively.
The position offers significant autonomy, technical ownership, and opportunities to make a measurable impact across the organization.

• 7+ years of experience in data science, analytics, or a related field within a fast-moving business environment.
• Demonstrated ability to independently lead ambiguous, complex, and high-impact analytical problems from definition through execution.
• Hands-on experience with modern cloud data stacks, including Snowflake, dbt, and BI platforms such as Sigma, Looker, Metabase, Omni, or similar tools.
• Strong SQL and statistical modeling capabilities, including practical experience developing forecasting and causal inference models.
• Experience designing and analyzing experiments, including A/B testing and counterfactual approaches.
• Strong understanding of scalable data modeling and experience contributing to shared semantic layers or centralized data foundations.
• Excellent documentation and version-control practices, including experience working with Git.
• Ability to balance rapid, exploratory analysis and prototyping with the development of scalable, reliable data products.
• Strong project management and organizational skills, with the ability to coordinate work across multiple stakeholder groups with minimal oversight.
• Self-driven approach, with the ability to identify opportunities, build a business case, and drive initiatives through completion.
• Excellent communication and presentation skills, with confidence working with executive leadership as well as technical and analytical teams.
• Collaborative mindset and enthusiasm for brainstorming, peer reviews, knowledge sharing, and constructive challenge.